Claude Dynamic Workflows Codex
Description
Run Claude Code dynamic workflows on a local Codex (GPT) backend, plus an interactive run viewer
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
Claude Dynamic Workflows — on Codex
A **Claude Code skill**: type `/codex-workflows ` and a fleet of **Codex (GPT) agents** fans out across the work — Claude authors the workflow, runs it on your local `codex app-server`, and streams it back as a live **execution map**.
[](LICENSE)   [](https://github.com/scasella/claude-dynamic-workflows-codex/actions/workflows/ci.yml)

↑ a real run: diagnose a checkout latency regression — triage the signals in parallel, **race three root-cause workers** and cancel the losers, steer the winner on its warm thread, then gate the fix. This is the bundled demo; open it yourself in 10 seconds ([below ↓](#see-it-now-no-codex-required)).
You describe a task; Claude Code writes a [dynamic-workflow](https://code.claude.com/docs/en/workflows) script — `agent()` / `parallel()` / `pipeline()` / `phase()` / `budget` — and runs it across dozens of GPT-5 agents instead of Claude subagents. The runtime holds the loop, branching, and intermediate results, so your context only sees the final answer — and you watch it build as an interactive map. And unlike the native one-shot DSL, workers here can stay **live** — steer a worker on warm context, race several and cancel the losers, or let a controller adapt the plan as results land ([Beyond one-shot ↓](#beyond-one-shot-sessionful-workers)). It scales one level up, too: add **`--multi`** and Claude launches a whole **fleet of concurrent workflows and supervises them itself** — answering their gates, steering, killing dead ends, forking winners ([walkthrough 8 ↓](#8--run-a-whole-fleet--and-let-claude-supervise-it)). Great for codebase a
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